Consider the following sample of observations on coating thi
Consider the following sample of observations on coating thickness for low-viscosity paint.
Assume that the distribution of coating thickness is normal (a normal probability plot strongly supports this assumption).
(a) Calculate a point estimate of the mean value of coating thickness. (Round your answer to four decimal places.)
(b) Calculate a point estimate of the median of the coating thickness distribution. (Round your answer to four decimal places.)
(c) Calculate a point estimate of the value that separates the largest 10% of all values in the thickness distribution from the remaining 90%. [Hint: Express what you are trying to estimate in terms of and .] (Round your answer to four decimal places.)
(d) Estimate P(X < 1.5), i.e., the proportion of all thickness values less than 1.5. [Hint: If you knew the values of and , you could calculate this probability. These values are not available, but they can be estimated.] (Round your answer to four decimal places.)
(e) What is the estimated standard error of the estimator that you used in part (b)? (Round your answer to four decimal places.)
| 0.81 | 0.88 | 0.88 | 1.04 | 1.09 | 1.22 | 1.29 | 1.31 | |||||||
| 1.39 | 1.49 | 1.59 | 1.62 | 1.65 | 1.71 | 1.76 | 1.83 |
Solution
